自分用snippetsファイル雛形

{
"snippets" : [
{
"name" : "pd.set_option",
"code" : [
"import pandas as pd",
"pd.set_option('max_rows',1)",
"pd.set_option('max_columns',100)"

        ]
    },
    {
        "name" : "matplotlib",
        "code" : [
            "import matplotlib.pyplot as plt",
            "import japanize_matplotlib"
        ]
    },
    {
        "name" : "初期",
        "code" : [
            "import pandas as pd",
            "import numpy as np",
            "import warnings",
            "warnings.filterwarnings('ignore')",
            "import matplotlib.pyplot as plt",
            "%matplotlib inline",
            "import seaborn as sns",
            "import datetime",
            "from tqdm import tqdm_notebook as tqdm",
            "import japanize_matplotlib",
            "sns.set(font='Yu Gothic')",
            "import math"
        ]
    },
    {
        "name" : "seaborn",
        "code" : [
            "def sns_countplot(df,columns_name):",
            "    plt.figure(figsize=(20, 10))",
            "    sns.countplot(x='{}'.format(columns_name), data = df);",
            "",
            "def sns_distplot(series):",
            "    plt.figure(figsize=(20, 10))",
            "    sns.distplot(series);",
            "",
            "def sns_regplot(df,series_x,series_y):",
            "    plt.figure(figsize=(20, 10))",
            "    sns.regplot(x=series_x, y=series_y);",
            "#https://qiita.com/ryo111/items/bf24c8cf508ad90cfe2e",
            "def sns_pairplot(df,series_name):",
            "    sns.pairplot(df,",
            "    hue='{}'.format(series_name),",
            "    diag_kind='hist'",
            "    )",
            "    plt.grid(True)"
        ]
    },
    {
        "name" : "DataFrameを綺麗に",
        "code" : [
            "display(df.style.background_gradient(cmap='summer',low=6.))",
            "df.bar(subset=[], color='#d65f5f')",
            "#http://sinhrks.hatenablog.com/entry/2015/11/22/202640"
        ]
    }
]

}