df = pd.read_pickle("verif_bermude_20350317_carimam.pkl")
df
df.groupby('filename').prediction
df.groupby('filename').prediction.mean()
mean_pred_file = df.groupby('filename').prediction.mean()
plt.plot(mean_pred_file);plt.show()
plt.plot(mean_pred_file);plt.savefig("totore.pdf")
pwd
nb_pos_file = (df.groupby('filename').prediction > 0.5).sum()
df
df.positif = df.prediction > 0.5
df
df['positif'] = df.prediction > 0.5
df
nb_pos_file = (df.groupby('filename').positif).sum()
nb_pos_file
plt.plot(nb_pos_file);plt.savefig("totore_pos.pdf")
plt.close()
plt.plot(mean_pred_file);plt.savefig("totore.png")
sum_pred_file = df.groupby('filename').prediction.sum()
plt.plot(sum_pred_file);plt.savefig("totore_sum.png")
plt.close();plt.plot(sum_pred_file);plt.savefig("totore_sum.png")
plt.close();plt.plot(nb_pos_file);plt.savefig("totore_pos.png")
%history  -f process_verif.txt