640x480 with 0 Axes> In [139]: df.plot() Out[139]: ad9af0> In [140]: plt.legend(loc='best') Out[140]: 134 true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index [6]: s = df.style.applymap(color_negative_red) s [6]: ad5f760> Notice the similarity with the standard df.applymap, which operates on DataFrames elementwise

true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index [6]: s = df.style.applymap(color_negative_red) s [6]: ad880> Notice the similarity with the standard df.applymap, which operates on DataFrames elementwise [19]: df.style.highlight_null(null_color='red') [19]: ad100> You can create “heatmaps” with the background_gradient method. These require matplotlib, and we’ll

true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index _subplots.AxesSubplot object at 0x7f67928de470>, ad358>, , authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str

true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index set_precision(2)\ .set_table_styles(magnify()) [36]: ad0> 4.15.8 Export to Excel New in version 0.20.0 Experimental: This is a new feature and still under requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str

(GH24751) • Removed the previously deprecated keyword “box” from to_datetime() and to_timedelta(); in ad- dition these now always returns DatetimeIndex, TimedeltaIndex, Index, Series, or DataFrame (GH24486) Indexing and selecting data 385 pandas: powerful Python data analysis toolkit, Release 1.0.0 Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index figsize=(6, 6), diagonal='kde') Out[85]: array([[ad0>, ,

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true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index ----------------------------------- NameError Traceback (most recent call last) ad6f23eb653c> in ----> 1 bp = df_box.groupby("g").boxplot() NameError: name 'df_box' is not ---------------------------- NameError Traceback (most recent call last) ad544> in ----> 1 df = pd.DataFrame( (continues on next page) 636 Chapter 2. User Guide pandas:

true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index [60]: df["C"].groupby(df["A"]) Out[60]: ad1ea700> Additionally this method avoids recomputing the internal grouping information derived from requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str

true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index page) Out[62]: 66 In [63]: ts.plot() Out[63]: ad750> In [64]: ts.interpolate() Out[64]: 2000-01-31 0.469112 2000-02-29 0.434469 2000-03-31 0.399826 requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. project_id [str

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 567 13.20.3 Adding an ad hoc index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 568 13.21 Returning to_gbq . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 994 25.10.3 Authentication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 995 25.10 for the values parameter (GH12017) • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore

aberres + • aeltanawy + • ailchau + • alimcmaster1 • alphaCTzo7G + • amphy + • araraonline + • azure-pipelines[bot] + • benarthur91 + • bk521234 + • cgangwar11 + • chris-b1 • cxl923cc + 56 Chapter true simply discards the index, instead of putting index values in the DataFrame’s columns. Adding an ad hoc index If you create an index yourself, you can just assign it to the index field: data.index requires the pandas-gbq package. See the How to authenticate with Google BigQuery guide for authentication instructions. Parameters query [str] SQL-Like Query to return data values. 6.1. Input/Output