feat(setup): change package naming (#1254)

ydataai · Jan 30, 2023 · 99e2e9f · 99e2e9f
1 parent 97cdd71
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diff --git a/.github/ISSUE_TEMPLATE/bug_report_form.yaml b/.github/ISSUE_TEMPLATE/bug_report_form.yaml
@@ -41,7 +41,7 @@ body:
       description: A minimal standalone code sample that reproduces the bug
       placeholder: |
         import pandas as pd
-        from pandas_profiling import ProfileReport
+        from ydata_profiling import ProfileReport
 
         df = pd.read_parquet(r"<file>")
         report = ProfileReport(df, title="bug report")

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -16,7 +16,7 @@ repos:
     hooks:
     - id: nbqa-black
     - id: nbqa-isort
-      args: [ --profile=black, --project=pandas_profiling ]
+      args: [ --profile=black, --project=ydata_profiling ]
     - id: nbqa-pyupgrade
       args: [ --py36-plus ]
 -   repo: https://github.com/asottile/pyupgrade
@@ -25,16 +25,16 @@ repos:
     -   id: pyupgrade
         args: ['--py37-plus','--exit-zero-even-if-changed']
 -   repo: https://github.com/pycqa/isort
-    rev: 5.10.1
+    rev: 5.12.0
     hooks:
       - id: isort
         files: '.*'
-        args: [ --profile=black, --project=pandas_profiling ]
+        args: [ --profile=black, --project=ydata_profiling ]
 -   repo: https://github.com/mgedmin/check-manifest
     rev: "0.47"
     hooks:
     -   id: check-manifest
-        args: [ "--ignore=src/pandas_profiling/version.py" ]
+        args: [ "--ignore=src/ydata_profiling/version.py" ]
         stages: [manual]
 -   repo: https://github.com/PyCQA/flake8
     rev: "4.0.1"
@@ -60,8 +60,8 @@ repos:
           (?x)(
             ^tests/|
             ^docsrc/|
-            ^src/pandas_profiling/utils/common.py|
-            ^src/pandas_profiling/utils/imghdr_patch.py
+            ^src/ydata_profiling/utils/common.py|
+            ^src/ydata_profiling/utils/imghdr_patch.py
           )
 -   repo: https://github.com/asottile/blacken-docs
     rev: v1.12.1

diff --git a/MANIFEST.in b/MANIFEST.in
@@ -5,13 +5,13 @@ include requirements*.txt
 include LICENSE
 include *.md
 include mypy.ini
-include src/pandas_profiling/py.typed
+include src/ydata_profiling/py.typed
 
 # Templates and static resources
-recursive-include src/pandas_profiling/report/presentation/flavours/html/templates *.html *.js *.css
+recursive-include src/ydata_profiling/report/presentation/flavours/html/templates *.html *.js *.css
 
 # Configuration
-include src/pandas_profiling/*.yaml
+include src/ydata_profiling/*.yaml
 
 # Spark Dev venv
 recursive-include venv *.yml

diff --git a/Makefile b/Makefile
@@ -10,17 +10,17 @@ test:
 	pytest tests/unit/
 	pytest tests/issues/
 	pytest --nbval tests/notebooks/
-	pandas_profiling -h
+	ydata_profiling -h
 
 test_spark:
 	pytest --spark_home=${SPARK_HOME} tests/backends/spark_backend/
-	pandas_profiling -h
+	ydata_profiling -h
 
 test_cov:
 	pytest --cov=. tests/unit/
 	pytest --cov=. --cov-append tests/issues/
 	pytest --cov=. --cov-append --nbval tests/notebooks/
-	pandas_profiling -h
+	ydata_profiling -h
 
 examples:
 	find ./examples -maxdepth 2 -type f -name "*.py" -execdir python {} \;

diff --git a/docsrc/source/conf.py b/docsrc/source/conf.py
@@ -15,7 +15,7 @@
 from datetime import date
 
 sys.path.insert(0, os.path.join("..", "..", "src"))
-sys.path.insert(0, os.path.join("..", "..", "src", "pandas_profiling"))
+sys.path.insert(0, os.path.join("..", "..", "src", "ydata_profiling"))
 
 
 # -- Project information -----------------------------------------------------

diff --git a/examples/bank_marketing_data/banking_data.py b/examples/bank_marketing_data/banking_data.py
@@ -4,8 +4,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_zipped_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_zipped_file
 
 if __name__ == "__main__":
     file_name = cache_zipped_file(

diff --git a/examples/census/census.py b/examples/census/census.py
@@ -4,9 +4,9 @@
 import numpy as np
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.config import Dataset
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.config import Dataset
+from ydata_profiling.utils.cache import cache_file
 
 if __name__ == "__main__":
     file_name = cache_file(

diff --git a/examples/chicago_employees/chicago_employees.py b/examples/chicago_employees/chicago_employees.py
@@ -2,8 +2,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_file
 
 if __name__ == "__main__":
     file_name = cache_file(

diff --git a/examples/colors/colors.py b/examples/colors/colors.py
@@ -2,8 +2,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_file
 
 if __name__ == "__main__":
     file_name = cache_file(

diff --git a/examples/features/correlation_auto_example.py b/examples/features/correlation_auto_example.py
@@ -2,8 +2,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_zipped_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_zipped_file
 
 """
 The "Auto" correlation is an interpretable pairwise column metric of the following mapping:

diff --git a/examples/features/correlation_demo.py b/examples/features/correlation_demo.py
@@ -2,8 +2,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_zipped_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_zipped_file
 
 """
 The "Auto" correlation is an interpretable pairwise column metric of the following mapping:
@@ -32,7 +32,7 @@
     profile = ProfileReport(
         df,
         title="Profile Report of the UCI Bank Marketing Dataset",
-        config_file="src/pandas_profiling/config_default.yaml",
+        config_file="src/ydata_profiling/config_default.yaml",
         correlations={
             "auto": {"n_bins": 8},
         },
@@ -57,7 +57,7 @@
     no_auto_profile = ProfileReport(
         df,
         title="Profile Report of the UCI Bank Marketing Dataset",
-        config_file="src/pandas_profiling/config_default.yaml",
+        config_file="src/ydata_profiling/config_default.yaml",
         correlations={
             "auto": {"calculate": False},
             "pearson": {"calculate": True},

diff --git a/examples/features/eda_dataset_compare.py b/examples/features/eda_dataset_compare.py
@@ -1,7 +1,7 @@
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_file
 
 if __name__ == "__main__":
     # Read the Titanic Dataset

diff --git a/examples/features/great_expectations_example.py b/examples/features/great_expectations_example.py
@@ -1,8 +1,8 @@
 import great_expectations as ge
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_file
 
 file_name = cache_file(
     "titanic.csv",

diff --git a/examples/features/images_cats_and_dogs.py b/examples/features/images_cats_and_dogs.py
@@ -1,8 +1,8 @@
 import kaggle
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.paths import get_data_path
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.paths import get_data_path
 
 # The dataset in this example is obtained using the `kaggle` api.
 # If you haven't done so already, you should set up the api credentials:

diff --git a/examples/features/images_exif.py b/examples/features/images_exif.py
@@ -1,8 +1,8 @@
 import kaggle
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.paths import get_data_path
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.paths import get_data_path
 
 # The dataset in this example is obtained using the `kaggle` api.
 # If you haven't done so already, you should set up the api credentials:

diff --git a/examples/features/mask_sensitive.py b/examples/features/mask_sensitive.py
@@ -2,8 +2,8 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
-from pandas_profiling.utils.cache import cache_file
+from ydata_profiling import ProfileReport
+from ydata_profiling.utils.cache import cache_file
 
 if __name__ == "__main__":
     file_name = cache_file("auto2.dta", "http://www.stata-press.com/data/r15/auto2.dta")

diff --git a/examples/features/russian_vocabulary.py b/examples/features/russian_vocabulary.py
@@ -2,7 +2,7 @@
 
 import pandas as pd
 
-from pandas_profiling import ProfileReport
+from ydata_profiling import ProfileReport
 
 if __name__ == "__main__":
     df = pd.read_csv(