Python ggplot 没有绘制数据框
Python ggplot is not plotting dataframe
我正在尝试绘制以下数据框。 X 和 Y 是列表。准备好这些列表后,我通过字典构建数据框。但是当我绘制时它实际上并没有绘制。
df = pd.DataFrame({"day": day, "ndcg@k": x, "MAP@k": y})
df2 = pd.melt(df[['day', 'ndcg@k', 'MAP@k']], id_vars=['day'])
ggplot(aes(x='day', y='value', group='variable', shape='variable', colour='variable'), data=df2) + geom_line() + geom_point()
我的数据是这样的(熔化前和熔化后)
MAP@k day ndcg@k
0 0.201919 20150203 0.245559
1 0.198214 20150204 0.241085
day variable value
0 20150203 ndcg@k 0.245559
1 20150204 ndcg@k 0.241085
2 20150203 MAP@k 0.201919
3 20150204 MAP@k 0.198214
它对我有用。尝试关注
import pandas as pd
from ggplot import *
df = pd.DataFrame([{"day": 20150203, "ndcg@k": 0.245559, "MAP@k": 0.201919},
{"day": 20150204, "ndcg@k": 0.255559, "MAP@k": 0.191919},
{"day": 20150205, "ndcg@k": 0.2645559, "MAP@k": 0.181919},
{"day": 20150203, "ndcg@k": 0.275559, "MAP@k": 0.171919},
{"day": 20150204, "ndcg@k": 0.285559, "MAP@k": 0.161919},
{"day": 20150205, "ndcg@k": 0.295559, "MAP@k": 0.151919}])
df2 = pd.melt(df[['day', 'ndcg@k', 'MAP@k']], id_vars=['day'])
df2.day = pd.to_datetime(df2.day, format = '%Y%m%d')
ggplot(aes(x='day', y='value', group='variable', shape='variable', colour='variable'), data=df2) + geom_line() + geom_point() + scale_x_date(labels = date_format('%Y-%m-%d %H:%M'))
我正在尝试绘制以下数据框。 X 和 Y 是列表。准备好这些列表后,我通过字典构建数据框。但是当我绘制时它实际上并没有绘制。
df = pd.DataFrame({"day": day, "ndcg@k": x, "MAP@k": y})
df2 = pd.melt(df[['day', 'ndcg@k', 'MAP@k']], id_vars=['day'])
ggplot(aes(x='day', y='value', group='variable', shape='variable', colour='variable'), data=df2) + geom_line() + geom_point()
我的数据是这样的(熔化前和熔化后)
MAP@k day ndcg@k
0 0.201919 20150203 0.245559
1 0.198214 20150204 0.241085
day variable value
0 20150203 ndcg@k 0.245559
1 20150204 ndcg@k 0.241085
2 20150203 MAP@k 0.201919
3 20150204 MAP@k 0.198214
它对我有用。尝试关注
import pandas as pd
from ggplot import *
df = pd.DataFrame([{"day": 20150203, "ndcg@k": 0.245559, "MAP@k": 0.201919},
{"day": 20150204, "ndcg@k": 0.255559, "MAP@k": 0.191919},
{"day": 20150205, "ndcg@k": 0.2645559, "MAP@k": 0.181919},
{"day": 20150203, "ndcg@k": 0.275559, "MAP@k": 0.171919},
{"day": 20150204, "ndcg@k": 0.285559, "MAP@k": 0.161919},
{"day": 20150205, "ndcg@k": 0.295559, "MAP@k": 0.151919}])
df2 = pd.melt(df[['day', 'ndcg@k', 'MAP@k']], id_vars=['day'])
df2.day = pd.to_datetime(df2.day, format = '%Y%m%d')
ggplot(aes(x='day', y='value', group='variable', shape='variable', colour='variable'), data=df2) + geom_line() + geom_point() + scale_x_date(labels = date_format('%Y-%m-%d %H:%M'))