Move DF to tabular.
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82418bd6c3
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@ -10,5 +10,5 @@ from .makebox import makebox
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from .resizebox import resizebox
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from .subfloat import subfloat
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from .table import table, tabledf
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from .tabular import tabular
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from .tabular import tabular, tabulardf
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from .inlines import it, bf, mt
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@ -1,10 +1,7 @@
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# -*- encoding: utf-8 -*-
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from .element import element
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from .tabular import tabular
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import itertools
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import pandas as pd
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from .tabular import tabulardf
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class table(element):
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@ -50,40 +47,8 @@ class table(element):
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})
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def multicolumn(n, s=''):
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if n == 1:
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return s
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return '\\multicolumn{' + str(n) + '}{c}{' + s + '}'
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class tabledf(table):
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def __init__(self, df, header=None, multilevels=False, fmt=None, **kargs):
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super().__init__(**kargs)
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if header is None:
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multilevels, header = self.create_header(df)
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if multilevels:
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ncols = len(header[-1])
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df = df.reset_index()
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else:
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ncols = len(header)
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header = [header]
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tab = tabular(columns='r' * ncols)
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tab.addrows(header)
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tab.addhline()
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tab.addrows(df.astype(object).values, fmt=fmt)
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self.add(tab)
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def create_header(self, df):
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cols = df.columns
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if not isinstance(cols, pd.MultiIndex):
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return False, list(df.columns)
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idx = df.index.names
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header = []
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for levels, labels in zip(cols.levels, cols.labels):
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tmp = [multicolumn(len(idx))]
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for i, g in itertools.groupby(labels):
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tmp.append(multicolumn(len(list(g)), levels[i]))
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header.append(tmp)
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header[-1] = idx + header[-1][1:] # Update last row
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return True, header
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self.add(tabulardf(df, header, multilevels, fmt))
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@ -1,7 +1,14 @@
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# -*- encoding: utf-8 -*-
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import itertools
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from .element import element
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try:
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import pandas as pd
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except:
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pd = None
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class row_element(element):
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@ -38,6 +45,7 @@ class hline_element(row_element):
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def content(self):
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return '\\hline'
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# instance of hline element
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hline = hline_element()
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@ -97,3 +105,42 @@ class tabular(element):
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'columns': self.columns,
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'inner': super().content()
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})
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def multicolumn(n, s=''):
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if n == 1:
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return s
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return '\\multicolumn{' + str(n) + '}{c}{' + s + '}'
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class tabulardf(tabular):
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def __init__(self, df, header=None, multilevels=False, fmt=None, **kargs):
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if header is None:
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multilevels, header = self.create_header(df)
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if multilevels:
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ncols = len(header[-1])
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df = df.reset_index()
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else:
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ncols = len(header)
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header = [header]
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kargs.setdefault('columns', 'r' * ncols)
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super().__init__(**kargs)
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self.addrows(header)
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self.addhline()
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self.addrows(df.astype(object).values, fmt=fmt)
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def create_header(self, df):
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cols = df.columns
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if not isinstance(cols, pd.MultiIndex):
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return False, list(df.columns)
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idx = df.index.names
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header = []
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for levels, labels in zip(cols.levels, cols.labels):
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tmp = [multicolumn(len(idx))]
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for i, g in itertools.groupby(labels):
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tmp.append(multicolumn(len(list(g)), levels[i]))
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header.append(tmp)
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header[-1] = idx + header[-1][1:] # Update last row
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return True, header
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