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| author | ziejd2 | 2021-02-24 15:19:03 -0600 |
|---|---|---|
| committer | ziejd2 | 2021-02-24 15:19:03 -0600 |
| commit | 1427e9bf4f85823164b4573a3bcf1ba3ba6b04d0 (patch) | |
| tree | d4356879a9b0a3d44063a6b292ef0197173697af /sourcecodes/ts_plotly.py | |
| parent | a2b306b10fb07f07c63235861ccfe460153e8609 (diff) | |
| download | BNW-1427e9bf4f85823164b4573a3bcf1ba3ba6b04d0.tar.gz | |
Moving final GENENET8 version to master
Diffstat (limited to 'sourcecodes/ts_plotly.py')
| -rw-r--r-- | sourcecodes/ts_plotly.py | 33 |
1 files changed, 11 insertions, 22 deletions
diff --git a/sourcecodes/ts_plotly.py b/sourcecodes/ts_plotly.py index cdd1321a..fa0c2c9a 100644 --- a/sourcecodes/ts_plotly.py +++ b/sourcecodes/ts_plotly.py @@ -1,7 +1,10 @@ -#!/var/www/html/compbio/BNW_1.3/bnw-env/bin/python3 +#!/home/jziebart/python/Python-2.7.15/python import os import sys +#sys.path.append('/home/jziebart/.local/bin') +#sys.path.append('/home/jziebart/.local/lib') + import plotly import plotly.graph_objs as go import csv @@ -16,10 +19,9 @@ f=open(filename,"r") lines=f.readlines() #Read the last line to get the variable name line=lines.pop() -#line = map(string.strip,line.strip().split(" ")) -line = line.strip().split(" ") +line = map(string.strip,line.strip().split(" ")) varName = line[4][:-1] -plot_title=varName+" Test Set Predictions" +plot_title="<br>"+varName+" Test Set Predictions" #print varName header=lines.pop(0) @@ -27,11 +29,9 @@ header=lines.pop(0) typefile = netID+"type.txt" tf=open(typefile,"r") line=tf.readline() -#varnames = map(string.strip,line.strip().split("\t")) -varnames = line.strip().split("\t") +varnames = map(string.strip,line.strip().split("\t")) line=tf.readline() -#vartypes = map(string.strip,line.strip().split("\t")) -vartypes = line.strip().split("\t") +vartypes = map(string.strip,line.strip().split("\t")) varindex = varnames.index(varName) cd_type = int(vartypes[varindex]) @@ -47,8 +47,7 @@ if cd_type == 1: # line = f.readline() # while line: for line in lines: - #line = map(string.strip,line.strip().split("\t")) - line = line.strip().split("\t") + line = map(string.strip,line.strip().split("\t")) if line[1] != 'NA': x.append(float(line[1])) y.append(float(line[2])) @@ -62,10 +61,6 @@ if cd_type == 1: size=24, color='black' ), - title_xref="paper", - title_x=0.5, - title_xanchor="center", - title_yanchor="middle", xaxis=dict( autorange=True, title='Actual values', @@ -95,8 +90,7 @@ else: # for i in range(5): # line = f.readline() #Get names of states - #header = map(string.strip,header.strip().split("\t")) - header = header.strip().split("\t") + header = map(string.strip,header.strip().split("\t")) states = header[2:] #Read the data actual = [] @@ -104,8 +98,7 @@ else: # line = f.readline() # while line: for line in lines: - #line = map(string.strip,line.strip().split("\t")) - line = line.strip().split("\t") + line = map(string.strip,line.strip().split("\t")) if line[1] != 'NA': actual.append(line[1]) predict_x = line[2:] @@ -154,10 +147,6 @@ else: size=24, color='black' ), - title_xref="paper", - title_x=0.5, - title_xanchor="center", - title_yanchor="middle", xaxis=dict( autorange=True, title='State', |
