为 python 绘图,仅绘制第一个数据点
Plotly for python, only first data point is being graphed
我不熟悉 plotly 和使用脚本来根据从数据库中提取的一些结果生成图表。然而,当我将数据发送到 plotly 时,只绘制了三个轨迹中每一个的第一个数据点。我已经验证列表包含正确的数据,我什至只是将列表粘贴进去而不是动态创建变量。不幸的是,每次只绘制第一个数据点。有谁知道我在这里缺少什么?如果需要,我也愿意向另一个图书馆开放。
是否也可以将 x 轴显示为字符串?
import plotly.plotly as py
import plotly.graph_objs as go
# Custom database class, works fine.
from classes.database import DatabaseConnection
# Database Connections and instances
db_instance = DatabaseConnection()
db_conn = db_instance.conn
db_cur = db_instance.cur
def main():
# Get a list of versions and their stats.
db_cur.execute(
"""
select row_to_json(x) from
(SELECT
versions.version_number,
cast(AVG(results.average) as double precision) as average,
cast(AVG(results.minimum) as double precision) as minimum,
cast(AVG(results.maximum) as double precision) as maximum
FROM versions,results
WHERE
versions.version_number = results.version_number
GROUP BY
versions.version_number) x;
"""
)
versions = []
average = []
minimum = []
maximum = []
unclean = db_cur.fetchall()
# Create lists for x and y coordinates.
for row in unclean:
versions.append(row[0]['version_number'])
average.append(int(row[0]['average']))
minimum.append(int(row[0]['minimum']))
maximum.append(int(row[0]['maximum']))
grph_average = go.Scatter(
x=versions,
y=average,
name = 'Average',
mode='lines',
)
grph_minimum = go.Scatter(
x=versions,
y=minimum,
name = 'Minimum',
mode='lines',
)
grph_maximum = go.Scatter(
x=versions,
y=maximum,
name = 'Maximum',
mode='lines',
)
data = go.Data([grph_average, grph_minimum, grph_maximum])
# Edit the layout
layout = dict(title = 'Responses',
xaxis = dict(title = 'Versions'),
yaxis = dict(title = 'Ms'),
)
fig = dict(data=data, layout=layout)
py.plot(fig, filename='response-times', auto_open=False)
if __name__ == '__main__':
main()
查询returns的数据如下,如果要插入值:
versions = ['6.1', '5.0', '5.2']
average = [11232, 29391, 10429]
minimum = [3641, 7729, 3483]
maximum = [57440, 62535, 45201]
这里有一些 matplotlib
可以帮助您开始这方面的工作:
import matplotlib.pyplot as plt
versions = ['6.1', '5.0', '5.2']
average = [11232, 29391, 10429]
minimum = [3641, 7729, 3483]
maximum = [57440, 62535, 45201]
plt.plot(minimum)
plt.plot(average)
plt.plot(maximum)
plt.xticks(range(len(versions)), versions)
看来是我的 x 轴有问题。通过在版本号之前添加一些文本并将特定类型转换为字符串,我能够正确生成图表。
# Create lists for x and y coordinates.
for row in unclean:
versions.append("Version: " + str(row[0]['version_number']))
average.append(int(row[0]['average']))
minimum.append(int(row[0]['minimum']))
maximum.append(int(row[0]['maximum']))
我不熟悉 plotly 和使用脚本来根据从数据库中提取的一些结果生成图表。然而,当我将数据发送到 plotly 时,只绘制了三个轨迹中每一个的第一个数据点。我已经验证列表包含正确的数据,我什至只是将列表粘贴进去而不是动态创建变量。不幸的是,每次只绘制第一个数据点。有谁知道我在这里缺少什么?如果需要,我也愿意向另一个图书馆开放。
是否也可以将 x 轴显示为字符串?
import plotly.plotly as py
import plotly.graph_objs as go
# Custom database class, works fine.
from classes.database import DatabaseConnection
# Database Connections and instances
db_instance = DatabaseConnection()
db_conn = db_instance.conn
db_cur = db_instance.cur
def main():
# Get a list of versions and their stats.
db_cur.execute(
"""
select row_to_json(x) from
(SELECT
versions.version_number,
cast(AVG(results.average) as double precision) as average,
cast(AVG(results.minimum) as double precision) as minimum,
cast(AVG(results.maximum) as double precision) as maximum
FROM versions,results
WHERE
versions.version_number = results.version_number
GROUP BY
versions.version_number) x;
"""
)
versions = []
average = []
minimum = []
maximum = []
unclean = db_cur.fetchall()
# Create lists for x and y coordinates.
for row in unclean:
versions.append(row[0]['version_number'])
average.append(int(row[0]['average']))
minimum.append(int(row[0]['minimum']))
maximum.append(int(row[0]['maximum']))
grph_average = go.Scatter(
x=versions,
y=average,
name = 'Average',
mode='lines',
)
grph_minimum = go.Scatter(
x=versions,
y=minimum,
name = 'Minimum',
mode='lines',
)
grph_maximum = go.Scatter(
x=versions,
y=maximum,
name = 'Maximum',
mode='lines',
)
data = go.Data([grph_average, grph_minimum, grph_maximum])
# Edit the layout
layout = dict(title = 'Responses',
xaxis = dict(title = 'Versions'),
yaxis = dict(title = 'Ms'),
)
fig = dict(data=data, layout=layout)
py.plot(fig, filename='response-times', auto_open=False)
if __name__ == '__main__':
main()
查询returns的数据如下,如果要插入值:
versions = ['6.1', '5.0', '5.2']
average = [11232, 29391, 10429]
minimum = [3641, 7729, 3483]
maximum = [57440, 62535, 45201]
这里有一些 matplotlib
可以帮助您开始这方面的工作:
import matplotlib.pyplot as plt
versions = ['6.1', '5.0', '5.2']
average = [11232, 29391, 10429]
minimum = [3641, 7729, 3483]
maximum = [57440, 62535, 45201]
plt.plot(minimum)
plt.plot(average)
plt.plot(maximum)
plt.xticks(range(len(versions)), versions)
看来是我的 x 轴有问题。通过在版本号之前添加一些文本并将特定类型转换为字符串,我能够正确生成图表。
# Create lists for x and y coordinates.
for row in unclean:
versions.append("Version: " + str(row[0]['version_number']))
average.append(int(row[0]['average']))
minimum.append(int(row[0]['minimum']))
maximum.append(int(row[0]['maximum']))