added scatter bar chart and stacked bar chart with multiple labels

This commit is contained in:
anjali
2021-04-20 14:12:44 +05:30
parent da1f4e53f6
commit 4e4e5d198f
2 changed files with 102 additions and 1 deletions

View File

@@ -72,12 +72,84 @@ class lf_bar_graph():
fig = plt.gcf()
plt.savefig("%s.png"% (self.graph_image_name), dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
return "%s.png" % (self.graph_image_name)
class lf_scatter_graph():
def __init__(self,
_x_data_set= ["sta0 ","sta1","sta2","sta3"],
_y_data_set= [[30,55,69,37]],
_xaxis_name="x-axis",
_yaxis_name="y-axis",
_label = ["num1", "num2"],
_graph_image_name="image_name",
_color=["r","y"],
_figsize=(9,4)):
self.x_data_set = _x_data_set
self.y_data_set = _y_data_set
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.figsize = _figsize
self.graph_image_name = _graph_image_name
self.color = _color
self.label = _label
def build_scatter_graph(self):
if self.color is None:
self.color = ["orchid", "lime", "aquamarine", "royalblue", "darkgray", "maroon"]
fig = plt.subplots(figsize=self.figsize)
plt.scatter(self.x_data_set, self.y_data_set[0], color=self.color[0], label=self.label[0])
if len(self.y_data_set) > 1:
for i in range(1,len(self.y_data_set)):
plt.scatter(self.x_data_set, self.y_data_set[i], color=self.color[i], label=self.label[i])
plt.xlabel(self.xaxis_name, fontweight='bold', fontsize=15)
plt.ylabel(self.yaxis_name, fontweight='bold', fontsize=15)
plt.gcf().autofmt_xdate()
plt.legend()
plt.savefig("%s.png" % (self.graph_image_name), dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
return "%s.png" % (self.graph_image_name)
class lf_stacked_graph():
def __init__(self,
_data_set= [[1,2,3,4],[1,1,1,1],[1,1,1,1]],
_xaxis_name="Stations",
_yaxis_name="Numbers",
_label = ['Success','Fail'],
_graph_image_name="image_name",
_color = ["b","g"],
_figsize=(9,4)):
self.data_set = _data_set # [x_axis,y1_axis,y2_axis]
self.xaxis_name = _xaxis_name
self.yaxis_name = _yaxis_name
self.figsize = _figsize
self.graph_image_name = _graph_image_name
self.label = _label
self.color = _color
def build_stacked_graph(self):
fig = plt.subplots(figsize=self.figsize)
if self.color is None:
self.color = ["darkred", "tomato", "springgreen", "skyblue", "indigo", "plum"]
plt.bar(self.data_set[0], self.data_set[1], color=self.color[0])
plt.bar(self.data_set[0], self.data_set[2], bottom=self.data_set[1], color=self.color[1])
if len(self.data_set) > 3:
for i in range(3, len(self.data_set)):
plt.bar(self.data_set[0], self.data_set[i], bottom=np.array(self.data_set[i-2])+np.array(self.data_set[i-1]), color=self.color[i-1])
plt.xlabel(self.xaxis_name)
plt.ylabel(self.yaxis_name)
plt.legend(self.label)
plt.savefig("%s.png" % (self.graph_image_name), dpi=96)
plt.close()
print("{}.png".format(self.graph_image_name))
return "%s.png" % (self.graph_image_name)
# Unit Test
if __name__ == "__main__":

View File

@@ -6,7 +6,7 @@ import numpy as np
import pandas as pd
import pdfkit
from lf_report import lf_report
from lf_graph import lf_bar_graph
from lf_graph import lf_bar_graph, lf_scatter_graph , lf_stacked_graph
# Unit Test
if __name__ == "__main__":
@@ -83,7 +83,36 @@ if __name__ == "__main__":
report.move_graph_image()
report.build_graph()
set1 = [1, 2, 3, 4]
set2 = [[45, 67, 45, 34], [34, 56, 45, 34], [45, 78, 23, 45]]
graph2 = lf_scatter_graph(_x_data_set=set1, _y_data_set=set2, _xaxis_name="x-axis",
_yaxis_name="y-axis",
_graph_image_name="image_name1",
_color=None,
_label=["s1", "s2", "s3"])
graph_png = graph2.build_scatter_graph()
print("graph name {}".format(graph_png))
report.set_graph_image(graph_png)
report.move_graph_image()
report.build_graph()
dataset = [["1", "2", "3", "4"], [12, 45, 67, 34], [23, 67, 23, 12], [25, 45, 34, 23]]
graph = lf_stacked_graph(_data_set=dataset,
_xaxis_name="Stations",
_yaxis_name="Login PASS/FAIL",
_label=['Success', 'Fail', 'both'],
_graph_image_name="login_pass_fail1",
_color=None)
graph_png = graph.build_stacked_graph()
print("graph name {}".format(graph_png))
report.set_graph_image(graph_png)
report.move_graph_image()
report.build_graph()
#report.build_all()
html_file = report.write_html()