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  • pdf文档 pandas: powerful Python data analysis toolkit - 0.25

    means and standard deviations # for each group In [155]: gp3 = df3.groupby(level=('letter', 'word')) In [156]: means = gp3.mean() In [157]: errors = gp3.std() In [158]: means Out[158]: data1 data2 letter
    0 码力 | 698 页 | 4.91 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.0

    defined # Group by index labels and take the means and standard deviations # for each group In [155]: gp3 = df3.groupby(level=('letter', 'word')) --------------------------------------------------------------------------- in ----> 1 gp3 = df3.groupby(level=('letter', 'word')) NameError: name 'df3' is not defined In [156]: means = gp3.mean() (continues on next page) 2.11. Visualization last) in ----> 1 means = gp3.mean() NameError: name 'gp3' is not defined In [157]: errors = gp3.std() ---------------------------------------------------------------------------
    0 码力 | 3091 页 | 10.16 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.0.4

    defined # Group by index labels and take the means and standard deviations # for each group In [155]: gp3 = df3.groupby(level=('letter', 'word')) --------------------------------------------------------------------------- in ----> 1 gp3 = df3.groupby(level=('letter', 'word')) NameError: name 'df3' is not defined In [156]: means = gp3.mean() (continues on next page) 640 Chapter 2 last) in ----> 1 means = gp3.mean() NameError: name 'gp3' is not defined In [157]: errors = gp3.std() ---------------------------------------------------------------------------
    0 码力 | 3081 页 | 10.24 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.1

    defined # Group by index labels and take the means and standard deviations # for each group In [158]: gp3 = df3.groupby(level=('letter', 'word')) --------------------------------------------------------------------------- in ----> 1 gp3 = df3.groupby(level=('letter', 'word')) NameError: name 'df3' is not defined In [159]: means = gp3.mean() (continues on next page) 650 Chapter 2 last) in ----> 1 means = gp3.mean() NameError: name 'gp3' is not defined In [160]: errors = gp3.std() ---------------------------------------------------------------------------
    0 码力 | 3231 页 | 10.87 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.0

    defined # Group by index labels and take the means and standard deviations # for each group In [158]: gp3 = df3.groupby(level=('letter', 'word')) --------------------------------------------------------------------------- in ----> 1 gp3 = df3.groupby(level=('letter', 'word')) NameError: name 'df3' is not defined In [159]: means = gp3.mean() (continues on next page) 650 Chapter 2 last) in ----> 1 means = gp3.mean() NameError: name 'gp3' is not defined In [160]: errors = gp3.std() ---------------------------------------------------------------------------
    0 码力 | 3229 页 | 10.87 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit -1.0.3

    defined # Group by index labels and take the means and standard deviations # for each group In [155]: gp3 = df3.groupby(level=('letter', 'word')) --------------------------------------------------------------------------- in ----> 1 gp3 = df3.groupby(level=('letter', 'word')) NameError: name 'df3' is not defined In [156]: means = gp3.mean() (continues on next page) 642 Chapter 3 last) in ----> 1 means = gp3.mean() NameError: name 'gp3' is not defined In [157]: errors = gp3.std() ---------------------------------------------------------------------------
    0 码力 | 3071 页 | 10.10 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.2.0

    defined # Group by index labels and take the means and standard deviations # for each group In [158]: gp3 = df3.groupby(level=("letter", "word")) --------------------------------------------------------------------------- NameError Traceback (most recent call last) in ----> 1 gp3 = df3.groupby(level=("letter", "word")) NameError: name 'df3' is not defined (continues on next powerful Python data analysis toolkit, Release 1.2.0 (continued from previous page) In [159]: means = gp3.mean() --------------------------------------------------------------------------- NameError Traceback
    0 码力 | 3313 页 | 10.91 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.14.0

    means and standard deviations for each group In [120]: gp3 = df3.groupby(level=(’letter’, ’word’)) In [121]: means = gp3.mean() In [122]: errors = gp3.std() 490 Chapter 17. Plotting pandas: powerful Python
    0 码力 | 1349 页 | 7.67 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.15

    means and standard deviations for each group In [145]: gp3 = df3.groupby(level=(’letter’, ’word’)) In [146]: means = gp3.mean() In [147]: errors = gp3.std() In [148]: means Out[148]: data1 data2 letter
    0 码力 | 1579 页 | 9.15 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 0.15.1

    means and standard deviations for each group In [145]: gp3 = df3.groupby(level=(’letter’, ’word’)) In [146]: means = gp3.mean() In [147]: errors = gp3.std() In [148]: means Out[148]: data1 data2 letter
    0 码力 | 1557 页 | 9.10 MB | 1 年前
    3
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