pandas.DataFrame.values — pandas 2.2.3 documentation

pandas.DataFrame.diff — pandas 2.2.3 documentation - PyData |

Periods to shift for calculating difference, accepts negative values. axis{0 or 'index', 1 or 'columns'}, default 0. Take difference over rows (0) ...

Time series / date functionality — pandas 2.2.3 documentation

Timestamps vs. time spans#. Timestamped data is the most basic type of time series data that associates values with points in time. For pandas objects it means ...

pandas.DataFrame.isna — pandas 2.2.3 documentation - PyData |

Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets ...

pandas.DataFrame.drop — pandas 2.2.3 documentation - PyData |

Drop specified labels from rows or columns. Remove rows or columns by specifying label names and corresponding axis, or by directly specifying index or column ...

Series — pandas 2.2.3 documentation

The ExtensionArray of the data backing this Series or Index. Series.values. Return Series as ndarray or ndarray-like depending on the dtype.

IO tools (text, CSV, HDF5, …) — pandas 2.2.3 documentation

Element order is ignored, so usecols=[0, 1] is the same as [1, 0] . To instantiate a DataFrame from data with element order preserved use pd.read_csv(data, ...

pandas.DataFrame.set_index — pandas 2.2.3 documentation

Set the DataFrame index (row labels) using one or more existing columns or arrays (of the correct length). The index can replace the existing index or expand ...

pandas.DataFrame — pandas 2.1.2 documentation - PyData |

Get the properties associated with this pandas object. iat. Access a single value for a row/column pair by integer position.

pandas.DataFrame.dropna — pandas 2.2.3 documentation - PyData |

pandas.DataFrame.dropna# · 0, or 'index' : Drop rows which contain missing values. · 1, or 'columns' : Drop columns which contain missing value.

pandas.DataFrame.rename — pandas 2.2.3 documentation - PyData |

Rename columns or index labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is.

pandas.DataFrame.plot — pandas 2.2.3 documentation - PyData |

When using a secondary_y axis, automatically mark the column labels with “(right)” in the legend. include_boolbool, default is False. If True, boolean values ...

pandas.DataFrame.fillna — pandas 2.2.3 documentation - PyData |

Fill NA/NaN values using the specified method. Method to use for filling holes in reindexed Series. Deprecated since version 2.1.0: Use ffill or bfill instead.

pandas.DataFrame.sum — pandas 2.2.3 documentation - PyData |

Return the sum of the values over the requested axis. This is equivalent to the method numpy.sum. axis {index (0), columns (1)} Axis for the function to be ...

pandas.DataFrame.sample — pandas 2.2.3 documentation - PyData |

Missing values in the weights column will be treated as zero. Infinite values not allowed. random_stateint, array-like, BitGenerator, np.random.RandomState, np.

pandas.DataFrame.value_counts — pandas 2.2.3 documentation

Sort by DataFrame column values when False. ascendingbool, default False. Sort in ascending order. dropnabool, default True. Don't ...

pandas.concat — pandas 2.2.3 documentation - PyData |

Combine DataFrame objects with overlapping columns and return everything. Columns outside the intersection will be filled with NaN values. >>> df3 = ...

pandas.DataFrame.to_numpy — pandas 2.2.3 documentation

The value to use for missing values. The default value depends on dtype and the dtypes of the DataFrame columns. Returns: numpy.ndarray.

pandas.read_excel — pandas 2.2.3 documentation - PyData |

Read an Excel file into a pandas DataFrame. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL.

pandas.DataFrame.equals — pandas 2.2.3 documentation - PyData |

The row/column index do not need to have the same type, as long as the values are considered equal. Corresponding columns and index must be of the same dtype.

pandas.DataFrame.to_json — pandas 2.2.3 documentation - PyData |

Indication of expected JSON string format. Series: default is 'index'. allowed values are: {'split', 'records' ...