From c4b03175e1ec896fbdf5ee259cfafbd8b15a7fca Mon Sep 17 00:00:00 2001 From: githubkeerthana <54321645+githubkeerthana@users.noreply.github.com> Date: Sat, 5 Sep 2020 19:20:50 +0530 Subject: [PATCH 1/2] Update Assignment2 pandas.ipynb --- Assignment/Assignment2 pandas.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Assignment/Assignment2 pandas.ipynb b/Assignment/Assignment2 pandas.ipynb index f382b27..671cab5 100644 --- a/Assignment/Assignment2 pandas.ipynb +++ b/Assignment/Assignment2 pandas.ipynb @@ -24,7 +24,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [df=pd.read_csv('Salaries.csv')] }, { "cell_type": "markdown", From bd161e7050bf20a17d11f684254d91f05319bc0a Mon Sep 17 00:00:00 2001 From: githubkeerthana <54321645+githubkeerthana@users.noreply.github.com> Date: Sun, 6 Sep 2020 15:34:30 +0530 Subject: [PATCH 2/2] Update Assignment2 pandas.ipynb --- Assignment/Assignment2 pandas.ipynb | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/Assignment/Assignment2 pandas.ipynb b/Assignment/Assignment2 pandas.ipynb index 671cab5..e14dd27 100644 --- a/Assignment/Assignment2 pandas.ipynb +++ b/Assignment/Assignment2 pandas.ipynb @@ -38,7 +38,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["list(df.columns)"] }, { "cell_type": "markdown", @@ -52,7 +52,10 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["rows=len(df.axis[0]" + "cols=len(df.axis[1]" + "print(rows)" + "print(cols)"] }, { "cell_type": "markdown", @@ -66,7 +69,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["df.info()"] }, { "cell_type": "markdown", @@ -80,7 +83,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["df.describe()"] }, { "cell_type": "markdown", @@ -94,7 +97,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["df.isna(axis=1)"] }, { "cell_type": "markdown", @@ -108,7 +111,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": ["df.dropna(axis=1 how('all')"] }, { "cell_type": "markdown", @@ -122,7 +125,9 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [" column_list = df.columns.values.tolist() +for column_name in column_list: + print(df."[column_name]".unique() "] }, { "cell_type": "markdown",