Jupyter Notebook for RSE Expression of Interest Survey

UKRSE-Workshop-2017-Lightning-Talk-Plotting-EOI-Survey.py

import seaborn as sns
import pandas as pd
import warnings
import matplotlib.pyplot as plt;
import matplotlib;
matplotlib.style.use('ggplot');

txtfile='RSE-EOI-survey-list-anonymized-v2.csv'

rse_df = pd.read_csv(txtfile,
                     delimiter=',',
                     index_col=False)
rse_df['Degree'].fillna(rse_df.OtherDegree, inplace=True)
rse_df['Priority'].fillna(value='Other', inplace=True)
del rse_df['OtherDegree']
del rse_df['OtherPriority']

%matplotlib inline
figsize=(8,8);
fontsize=32;
plt.figure(figsize=figsize);

rse_df.Degree.unique()
rse_df.Degree.value_counts()

pd.value_counts(rse_df['Degree'])

pd.value_counts(rse_df['Degree']).plot(kind='pie',autopct='%0.1f', figsize=figsize, fontsize=fontsize);

replace_values = {'More long-term career options within research community': 'Long-term career pathways in research',
                  'Increased opportunities to meet and interact with other RSEs': 'Interactions with other RSEs',
                  'Increased recognition for the importance of the RSE role': 'Recognition for RSEs',
                  'Sharing of best practices and new technologies with other RSEs': 'Sharing best-practices'}
rse_df['Priority'].replace(replace_values, inplace=True)

matplotlib.rcParams['text.usetex'] = False
pd.value_counts(rse_df['Priority']).plot(kind='pie',label='', figsize=figsize,colormap='Set2', autopct='%0.1f',fontsize=fontsize);

pri = sns.countplot(y="Priority", hue="Degree", data=rse_df, palette='muted')
plt.legend(loc='lower right');
pri.figure.set_size_inches(figsize)
ax = pri.axes
for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +
             ax.get_xticklabels() + ax.get_yticklabels()):
    item.set_fontsize(fontsize)