@@ -28,17 +28,17 @@ def make_criteria_csv():
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# Criteria tables
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df = DataFrame .from_dict (coordinate_criteria )
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- df = df .dropna (1 , how = "all" )
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+ df = df .dropna (axis = 1 , how = "all" )
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df = df .applymap (lambda x : ", " .join (sorted (x )) if isinstance (x , tuple ) else x )
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- df = df .sort_index (0 ).sort_index (1 )
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+ df = df .sort_index (axis = 0 ).sort_index (axis = 1 )
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# All criteria
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df .to_csv (os .path .join (csv_dir , "all_criteria.csv" ))
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# Axes and coordinates
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for keys , name in zip ([_AXIS_NAMES , _COORD_NAMES ], ["axes" , "coords" ]):
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- subdf = df [sorted (keys )].dropna (1 , how = "all" )
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- subdf = subdf .dropna (1 , how = "all" ).transpose ()
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+ subdf = df [sorted (keys )].dropna (axis = 1 , how = "all" )
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+ subdf = subdf .dropna (axis = 1 , how = "all" ).transpose ()
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subdf .to_csv (os .path .join (csv_dir , f"{ name } _criteria.csv" ))
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@@ -52,7 +52,7 @@ def make_regex_csv():
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os .makedirs (csv_dir , exist_ok = True )
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df = DataFrame (regex , index = [0 ])
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df = df .applymap (lambda x : f"``{ x } ``" )
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- df = df .sort_index (1 ).transpose ()
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+ df = df .sort_index (axis = 1 ).transpose ()
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df .to_csv (os .path .join (csv_dir , "all_regex.csv" ), header = False )
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