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data-describe
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Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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J
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
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Y
A
adf_test() (in module data_describe.core.time)
association_matrix (data_describe.core.correlation.CorrelationWidget attribute)
B
bag_of_words_to_docs() (in module data_describe.text.text_preprocessing)
BaseWidget (class in data_describe._widget)
C
categorical (data_describe.core.correlation.CorrelationWidget attribute)
cluster() (in module data_describe.core.clustering)
cluster_matrix (data_describe.core.correlation.CorrelationWidget attribute)
cluster_range (data_describe.core.clustering.ClusterWidget attribute)
cluster_search_plot() (data_describe.core.clustering.ClusterWidget method)
clusters (data_describe.core.clustering.ClusterWidget attribute)
ClusterWidget (class in data_describe.core.clustering)
coherence_values() (data_describe.text.topic_modeling.TopicModelWidget property)
colnames (data_describe.core.heatmap.HeatmapWidget attribute)
compute_sensitive_data() (in module data_describe.privacy.detection)
corpus() (data_describe.text.topic_modeling.TopicModelWidget property)
correlation_matrix() (in module data_describe.core.correlation)
CorrelationWidget (class in data_describe.core.correlation)
create_doc_term_matrix() (in module data_describe.text.text_preprocessing)
create_mapping() (in module data_describe.privacy.detection)
create_tfidf_matrix() (in module data_describe.text.text_preprocessing)
D
data_describe
module
data_describe._version
module
data_describe._widget
module
data_describe.backends
module
data_describe.backends._backends
module
data_describe.backends.compute
module
data_describe.backends.compute._modin
module
data_describe.backends.compute._pandas
module
data_describe.backends.viz
module
data_describe.backends.viz._plotly
module
data_describe.backends.viz._pyLDAvis
module
data_describe.backends.viz._seaborn
module
data_describe.compat
module
data_describe.compat._dataframe
module
data_describe.compat._dependency
module
data_describe.compat._notebook
module
data_describe.config
module
data_describe.config._config
module
data_describe.core
module
data_describe.core.clustering
module
data_describe.core.correlation
module
data_describe.core.distributions
module
data_describe.core.heatmap
module
data_describe.core.importance
module
data_describe.core.scatter
module
data_describe.core.summary
module
data_describe.core.time
module
data_describe.dimensionality_reduction
module
data_describe.dimensionality_reduction.dimensionality_reduction
module
data_describe.metrics
module
data_describe.metrics.bivariate
module
data_describe.metrics.univariate
module
data_describe.misc
module
data_describe.misc.colors
module
data_describe.misc.file_ext
module
data_describe.misc.load_data
module
data_describe.misc.logging
module
data_describe.misc.preprocessing
module
data_describe.privacy
module
data_describe.privacy.detection
module
data_describe.text
module
data_describe.text.text_preprocessing
module
data_describe.text.topic_modeling
module
data_heatmap() (in module data_describe.core.heatmap)
data_summary() (in module data_describe.core.summary)
diagnostics (data_describe.core.scatter.ScatterWidget attribute)
dictionary() (data_describe.text.topic_modeling.TopicModelWidget property)
dim_method (data_describe.core.clustering.ClusterWidget attribute)
dim_reduc() (in module data_describe.dimensionality_reduction.dimensionality_reduction)
display_topic_keywords() (data_describe.text.topic_modeling.TopicModelWidget method)
distribution() (in module data_describe.core.distributions)
DistributionWidget (class in data_describe.core.distributions)
download_gcs_file() (in module data_describe.misc.load_data)
E
elbow_plot() (data_describe.text.topic_modeling.TopicModelWidget method)
encrypt_text() (in module data_describe.privacy.detection)
estimator (data_describe.core.clustering.ClusterWidget attribute)
F
figure_layout() (in module data_describe.core.time)
filter_dictionary() (in module data_describe.text.text_preprocessing)
fit() (data_describe.text.topic_modeling.TopicModelWidget method)
G
gensim (in module data_describe.text.topic_modeling)
get_option() (in module data_describe.config._config)
get_p_RdBl_cmap() (in module data_describe.misc.colors)
get_topic_nums() (data_describe.text.topic_modeling.TopicModelWidget method)
H
hash_string() (in module data_describe.privacy.detection)
HeatmapWidget (class in data_describe.core.heatmap)
heteroscedastic() (in module data_describe.metrics.bivariate)
I
identify_column_infotypes() (in module data_describe.privacy.detection)
identify_infotypes() (in module data_describe.privacy.detection)
identify_pii() (in module data_describe.privacy.detection)
importance() (in module data_describe.core.importance)
input_data (data_describe.core.clustering.ClusterWidget attribute)
(data_describe.core.distributions.DistributionWidget attribute)
(data_describe.core.heatmap.HeatmapWidget attribute)
(data_describe.core.scatter.ScatterWidget attribute)
(data_describe.core.summary.SummaryWidget attribute)
is_filetype() (in module data_describe.misc.file_ext)
J
JupyterPlotlyWarning
JupyterPlotlyWarning.args (class in data_describe.compat._notebook)
K
kpss_test() (in module data_describe.core.time)
L
lemmatize() (in module data_describe.text.text_preprocessing)
load_data() (in module data_describe.misc.load_data)
logger (in module data_describe.privacy.detection)
M
matrix() (data_describe.text.topic_modeling.TopicModelWidget property)
max_topics() (data_describe.text.topic_modeling.TopicModelWidget property)
method (data_describe.core.clustering.ClusterWidget attribute)
metric (data_describe.core.clustering.ClusterWidget attribute)
min_topics() (data_describe.text.topic_modeling.TopicModelWidget property)
missing (data_describe.core.heatmap.HeatmapWidget attribute)
missing_data (data_describe.core.heatmap.HeatmapWidget attribute)
mode (data_describe.core.scatter.ScatterWidget attribute)
model() (data_describe.text.topic_modeling.TopicModelWidget property)
model_type() (data_describe.text.topic_modeling.TopicModelWidget property)
module
data_describe
data_describe._version
data_describe._widget
data_describe.backends
data_describe.backends._backends
data_describe.backends.compute
data_describe.backends.compute._modin
data_describe.backends.compute._pandas
data_describe.backends.viz
data_describe.backends.viz._plotly
data_describe.backends.viz._pyLDAvis
data_describe.backends.viz._seaborn
data_describe.compat
data_describe.compat._dataframe
data_describe.compat._dependency
data_describe.compat._notebook
data_describe.config
data_describe.config._config
data_describe.core
data_describe.core.clustering
data_describe.core.correlation
data_describe.core.distributions
data_describe.core.heatmap
data_describe.core.importance
data_describe.core.scatter
data_describe.core.summary
data_describe.core.time
data_describe.dimensionality_reduction
data_describe.dimensionality_reduction.dimensionality_reduction
data_describe.metrics
data_describe.metrics.bivariate
data_describe.metrics.univariate
data_describe.misc
data_describe.misc.colors
data_describe.misc.file_ext
data_describe.misc.load_data
data_describe.misc.logging
data_describe.misc.preprocessing
data_describe.privacy
data_describe.privacy.detection
data_describe.text
data_describe.text.text_preprocessing
data_describe.text.topic_modeling
mpl_to_plotly_cmap() (in module data_describe.misc.colors)
N
n_clusters (data_describe.core.clustering.ClusterWidget attribute)
ngram_freq() (in module data_describe.text.text_preprocessing)
nltk (in module data_describe.text.text_preprocessing)
nltk_download() (in module data_describe.compat._dependency)
num_data (data_describe.core.scatter.ScatterWidget attribute)
num_topics() (data_describe.text.topic_modeling.TopicModelWidget property)
O
Options (class in data_describe.config._config)
options (in module data_describe.config._config)
OutputLogger (class in data_describe.misc.logging)
P
plot_autocorrelation() (in module data_describe.core.time)
plot_distribution() (data_describe.core.distributions.DistributionWidget method)
plot_time_series() (in module data_describe.core.time)
plotly_check() (in module data_describe.compat._dependency)
preprocess() (in module data_describe.misc.preprocessing)
preprocess_texts() (in module data_describe.text.text_preprocessing)
presidio_download() (in module data_describe.compat._dependency)
presidio_engine() (in module data_describe.privacy.detection)
R
redact_info() (in module data_describe.privacy.detection)
reductor (data_describe.core.clustering.ClusterWidget attribute)
remove_digits() (in module data_describe.text.text_preprocessing)
remove_punct() (in module data_describe.text.text_preprocessing)
remove_single_char_and_spaces() (in module data_describe.text.text_preprocessing)
remove_stopwords() (in module data_describe.text.text_preprocessing)
run_ipca() (in module data_describe.dimensionality_reduction.dimensionality_reduction)
run_pca() (in module data_describe.dimensionality_reduction.dimensionality_reduction)
run_tsne() (in module data_describe.dimensionality_reduction.dimensionality_reduction)
run_tsvd() (in module data_describe.dimensionality_reduction.dimensionality_reduction)
S
sample (data_describe.core.scatter.ScatterWidget attribute)
scaled_data (data_describe.core.clustering.ClusterWidget attribute)
scatter_plots() (in module data_describe.core.scatter)
ScatterWidget (class in data_describe.core.scatter)
scores (data_describe.core.clustering.ClusterWidget attribute)
search (data_describe.core.clustering.ClusterWidget attribute)
sensitive_data() (in module data_describe.privacy.detection)
SensitiveDataWidget (class in data_describe.privacy.detection)
set_option() (in module data_describe.config._config)
show() (data_describe._widget.BaseWidget method)
(data_describe.core.clustering.ClusterWidget method)
(data_describe.core.correlation.CorrelationWidget method)
(data_describe.core.distributions.DistributionWidget method)
(data_describe.core.heatmap.HeatmapWidget method)
(data_describe.core.scatter.ScatterWidget method)
(data_describe.core.summary.SummaryWidget method)
(data_describe.privacy.detection.SensitiveDataWidget method)
(data_describe.text.topic_modeling.TopicModelWidget method)
skew_factor (data_describe.core.distributions.DistributionWidget attribute)
skew_value (data_describe.core.distributions.DistributionWidget attribute)
skewed() (in module data_describe.metrics.univariate)
spike_factor (data_describe.core.distributions.DistributionWidget attribute)
spike_value (data_describe.core.distributions.DistributionWidget attribute)
spikey() (in module data_describe.metrics.univariate)
stationarity_test() (in module data_describe.core.time)
std_data (data_describe.core.heatmap.HeatmapWidget attribute)
stem() (in module data_describe.text.text_preprocessing)
summary (data_describe.core.summary.SummaryWidget attribute)
SummaryWidget (class in data_describe.core.summary)
T
threshold (data_describe.core.scatter.ScatterWidget attribute)
to_list() (in module data_describe.text.text_preprocessing)
to_lower() (in module data_describe.text.text_preprocessing)
tokenize() (in module data_describe.text.text_preprocessing)
top_documents_per_topic() (data_describe.text.topic_modeling.TopicModelWidget method)
topic_model() (in module data_describe.text.topic_modeling)
TopicModelWidget (class in data_describe.text.topic_modeling)
U
update_context() (in module data_describe.config._config)
V
varying() (in module data_describe.metrics.bivariate)
visualize_topic_summary() (data_describe.text.topic_modeling.TopicModelWidget method)
viz_data (data_describe.core.clustering.ClusterWidget attribute)
(data_describe.core.correlation.CorrelationWidget attribute)
W
with_traceback() (data_describe.compat._notebook.JupyterPlotlyWarning method)
write() (data_describe.misc.logging.OutputLogger method)
X
xlabel (data_describe.core.clustering.ClusterWidget attribute)
Y
ylabel (data_describe.core.clustering.ClusterWidget attribute)
Other Versions
v: v0.1.0b2
Tags
v0.1.0b1
v0.1.0b2
v0.1.0b3
Branches
master