Version 0.1

Added sidebar, Dashboard, Line Graph

.venv/Lib/site-packages/openpyxl/utils/dataframe.py

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+# Copyright (c) 2010-2022 openpyxl
+
+from itertools import accumulate
+import operator
+
+from openpyxl.compat.product import prod
+
+
+def dataframe_to_rows(df, index=True, header=True):
+    """
+    Convert a Pandas dataframe into something suitable for passing into a worksheet.
+    If index is True then the index will be included, starting one row below the header.
+    If header is True then column headers will be included starting one column to the right.
+    Formatting should be done by client code.
+    """
+    import numpy
+    from pandas import Timestamp
+    blocks = df._data.blocks
+    ncols = sum(b.shape[0] for b in blocks)
+    data = [None] * ncols
+
+    for b in blocks:
+        values = b.values
+
+        if b.dtype.type == numpy.datetime64:
+            values = numpy.array([Timestamp(v) for v in values.ravel()])
+            values = values.reshape(b.shape)
+
+        result = values.tolist()
+
+        for col_loc, col in zip(b.mgr_locs, result):
+            data[col_loc] = col
+
+    if header:
+        if df.columns.nlevels > 1:
+            rows = expand_index(df.columns, header)
+        else:
+            rows = [list(df.columns.values)]
+        for row in rows:
+            n = []
+            for v in row:
+                if isinstance(v, numpy.datetime64):
+                    v = Timestamp(v)
+                n.append(v)
+            row = n
+            if index:
+                row = [None]*df.index.nlevels + row
+            yield row
+
+    if index:
+        yield df.index.names
+
+    expanded = ([v] for v in df.index)
+    if df.index.nlevels > 1:
+        expanded = expand_index(df.index)
+
+    for idx, v in enumerate(expanded):
+        row = [data[j][idx] for j in range(ncols)]
+        if index:
+            row = v + row
+        yield row
+
+
+def expand_index(index, header=False):
+    """
+    Expand axis or column Multiindex
+    For columns use header = True
+    For axes use header = False (default)
+    """
+
+    shape = index.levshape
+    depth = prod(shape)
+    row = [None] * index.nlevels
+    lengths = [depth / size for size in accumulate(shape, operator.mul)] # child index lengths
+    columns = [ [] for l in index.names] # avoid copied list gotchas
+
+    for idx, entry in enumerate(index):
+        row = [None] * index.nlevels
+        for level, v in enumerate(entry):
+            length = lengths[level]
+            if idx % length:
+                v = None
+            row[level] = v
+            if header:
+                columns[level].append(v)
+
+        if not header:
+            yield row
+
+    if header:
+        for row in columns:
+            yield row