pandas: powerful Python data analysis toolkit - 1.1.1axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3231 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.1.0axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3229 页 | 10.87 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.24.0axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 2973 页 | 9.90 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.3axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3323 页 | 12.74 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.2ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3509 页 | 14.01 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.3ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3603 页 | 14.65 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.3.4ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3605 页 | 14.68 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.2.0axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 axis=None) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3313 页 | 10.91 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.2ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3739 页 | 15.24 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 1.4.4ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac random elements from the Series df['num_legs']: Note that we use random_state to ensure the reproducibility of the examples. >>> df['num_legs'].sample(n=3, random_state=1) fish 0 spider 8 falcon 2 ignore_index=False) Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters n [int, optional] Number of items from axis to return. Cannot be used with frac0 码力 | 3743 页 | 15.26 MB | 1 年前3
共 17 条
- 1
- 2













