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Pandas
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Solving Common Errors in Pandas
Solving Common Errors in Pandas
This series of tutorials will help you get through common errors and warnings in Pandas.
1
Pandas FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated
2
Fixing ModuleNotFoundError: No module named ‘pandas’
3
Fixing Pandas ImportError: cannot import name ‘pd’ from ‘pandas’
4
Pandas warning: Pyarrow will become a required dependency of pandas in the next major release
5
Pandas TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex
6
Pandas ValueError: If using all scalar values, you must pass an index
7
Pandas KeyError: ‘column_name’ does not exist
8
Pandas SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame
9
Pandas UnicodeDecodeError: ‘utf-8’ codec can’t decode
10
Pandas DtypeWarning: Columns have mixed types
11
Pandas Error: DataFrame object has no attribute ‘append’
12
Pandas ValueError: You are trying to merge on object and int64 columns
13
Pandas Error: DataFrame object has no attribute ‘sort’
14
Pandas AttributeError: ‘DataFrame’ object has no attribute ‘ix’
15
Fixing Pandas NameError: ‘pd’ is not defined (5 solutions)
16
Pandas ValueError: could not convert string to float
17
Solving Pandas TypeError: no numeric data to plot (4 solutions)
18
Solving Pandas KeyError: [‘Label’] not found in axis
19
Fixing Pandas Error – OutOfBoundsDatetime: Out of bounds nanosecond timestamp
20
Pandas ValueError: columns overlap but no suffix specified
21
Solving Pandas ValueError: The truth value of a Series is ambiguous
22
Solving NumPy LinAlgError: Singular matrix (3 solutions)
23
Pandas AttributeError: Can only use .str accessor with string values
24
Solving AttributeError: module ‘pandas’ has no attribute ‘dataframe’
25
[Solved] Pandas TypeError: ‘DataFrame’ object is not callable
26
Pandas ValueError: Length of values does not match length of index
27
[Solved] Pandas ValueError: cannot convert float NaN to integer (3 solutions)
28
Pandas ValueError: All arrays must be of the same length
29
Pandas ValueError: Can only compare identically-labeled DataFrame objects
30
Pandas TypeError: first argument must be an iterable of pandas objects, you passed an object of type ‘DataFrame’
31
Pandas ValueError: You are trying to merge on int64 and object columns
32
NumPy ValueError: cannot perform reduce with flexible type
33
Solving Pandas ValueError: cannot set a row with mismatched columns
34
Pandas TypeError: unsupported operand type(s) for -: ‘str’ and ‘int’
35
Pandas ValueError: Index contains duplicate entries, cannot reshape (3 solutions)
36
Pandas ValueError: Input contains infinity or a value too large for dtype(‘float64’)
37
Pandas TypeError: cannot compare a dtyped [object] array with a scalar of type [bool]
38
Pandas TypeError: Cannot perform ‘rand_’ with a dtyped [int64] array and scalar of type [bool]’
39
Pandas ValueError: Cannot mask with non-boolean array containing NA/NaN values
40
How to fix ValueError: Pandas data cast to numpy dtype of object
41
Pandas DataFrame: Sorting in each group by one or many columns (5 examples)
42
Pandas AttributeError: ‘str’ object has no attribute ‘str’
43
Pandas DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns
44
Pandas AttributeError: ‘str’ object has no attribute ‘slice_replace’
45
Pandas FutureWarning: ‘T’ is deprecated and will be removed in a future version, please use ‘min’ instead
46
Pandas TypeError: DataFrame.gt() got an unexpected keyword argument ‘fill_value’
47
Pandas/NumPy TypeError: datetime64 type does not support sum operations
48
Pandas FutureWarning: ‘M’ is deprecated and will be removed in a future version, please use ‘ME’ instead
49
Pandas AttributeError: ‘DataFrameGroupBy’ object has no attribute ‘kurt’
50
Pandas/NumPy ValueError: Shape of passed values is (a, b), indices imply (c, d)
51
Pandas ValueError: Indexes have overlapping values
52
Pandas NameError: name ‘null’ is not defined
53
Pandas FutureWarning: DataFrame.groupby with axis=1 is deprecated
54
Pandas Error: NDFrame.asof() got an unexpected keyword argument ‘columns’
55
Solving Pandas NameError: name ‘NaN’ is not defined (3 solutions)
56
Pandas TypeError: NDFrame.asof() got multiple values for argument ‘where’
57
Pandas FutureWarning: DataFrame.applymap has been deprecated
58
Pandas TypeError: SparseArray does not support item assignment via setitem
59
Fixing Pandas NameError: name ‘df’ is not defined