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Visualizing High Dimensional Data at once
How to generate legible plots in pandas when looping over columns?Why can't Python parse this JSON data?matplotlib Legend Markers Only OnceHow to define a two-dimensional array in PythonHow do I write JSON data to a file?“Large data” work flows using pandasShowing data and model predictions in one plot using Seaborn and Statsmodelsadjust colorbar to the same height with image in pyplotpython multiple plots for numpy arrayIssue with xticklabels when saving a figure with matplotlibBased on the visualised plots, which features data matrix is better for PCA, “X_scaled” or “X”, Why?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;
I am trying to visualize my data, so that I can view all 200 columns one by one. I would like to have a more intuitive way to understand my data.
I have tried google but didn't get any help in visualizing high dimensional data. People say to use PCA but I want to visualize my raw data in columns.
Data set Link
My code
x0=df[df["target"]==0]
x1=df[df["target"]==1]
x0_100=x0[1:300]
x1_100=x1[1:300]
x=x1_100.append(x0_100)
y=x["target"]
x=x.drop("target",axis=1)
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (60, 60))
j = 0
for i in x:
plt.subplot(51,4, j+1)
j += 1
sns.boxplot(x=y,y=x[i])
python matplotlib visualization seaborn
edited Apr 19 at 8:10
marc_s
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
add a comment |
I am trying to visualize my data, so that I can view all 200 columns one by one. I would like to have a more intuitive way to understand my data.
I have tried google but didn't get any help in visualizing high dimensional data. People say to use PCA but I want to visualize my raw data in columns.
Data set Link
My code
x0=df[df["target"]==0]
x1=df[df["target"]==1]
x0_100=x0[1:300]
x1_100=x1[1:300]
x=x1_100.append(x0_100)
y=x["target"]
x=x.drop("target",axis=1)
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (60, 60))
j = 0
for i in x:
plt.subplot(51,4, j+1)
j += 1
sns.boxplot(x=y,y=x[i])
python matplotlib visualization seaborn
edited Apr 19 at 8:10
marc_s
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54
add a comment |
I am trying to visualize my data, so that I can view all 200 columns one by one. I would like to have a more intuitive way to understand my data.
I have tried google but didn't get any help in visualizing high dimensional data. People say to use PCA but I want to visualize my raw data in columns.
Data set Link
My code
x0=df[df["target"]==0]
x1=df[df["target"]==1]
x0_100=x0[1:300]
x1_100=x1[1:300]
x=x1_100.append(x0_100)
y=x["target"]
x=x.drop("target",axis=1)
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (60, 60))
j = 0
for i in x:
plt.subplot(51,4, j+1)
j += 1
sns.boxplot(x=y,y=x[i])
python matplotlib visualization seaborn
edited Apr 19 at 8:10
marc_s
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
I am trying to visualize my data, so that I can view all 200 columns one by one. I would like to have a more intuitive way to understand my data.
I have tried google but didn't get any help in visualizing high dimensional data. People say to use PCA but I want to visualize my raw data in columns.
Data set Link
My code
x0=df[df["target"]==0]
x1=df[df["target"]==1]
x0_100=x0[1:300]
x1_100=x1[1:300]
x=x1_100.append(x0_100)
y=x["target"]
x=x.drop("target",axis=1)
import matplotlib.pyplot as plt
fig = plt.figure(figsize = (60, 60))
j = 0
for i in x:
plt.subplot(51,4, j+1)
j += 1
sns.boxplot(x=y,y=x[i])
python matplotlib visualization seaborn
python matplotlib visualization seaborn
edited Apr 19 at 8:10
marc_s
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
edited Apr 19 at 8:10
marc_s
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
edited Apr 19 at 8:10
marc_s
588k13011281275
edited Apr 19 at 8:10
marc_s
588k13011281275
edited Apr 19 at 8:10
marc_s
588k13011281275
588k13011281275
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
asked Mar 22 at 23:36
Sohaib AnwaarSohaib Anwaar
559
559
First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54
add a comment |
First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54
First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54
add a comment |
1 Answer
1
active
oldest
votes
I would recommend plotting two different box plots with a hundred columns on each:
import numpy as np; np.random.seed(0)
import pandas as pd
import cufflinks as cf
df = cf.datagen.box(200)
df.iloc[:,0:100].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
df.iloc[:,100:].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
add a comment |
Your Answer
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I would recommend plotting two different box plots with a hundred columns on each:
import numpy as np; np.random.seed(0)
import pandas as pd
import cufflinks as cf
df = cf.datagen.box(200)
df.iloc[:,0:100].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
df.iloc[:,100:].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
add a comment |
I would recommend plotting two different box plots with a hundred columns on each:
import numpy as np; np.random.seed(0)
import pandas as pd
import cufflinks as cf
df = cf.datagen.box(200)
df.iloc[:,0:100].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
df.iloc[:,100:].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
add a comment |
I would recommend plotting two different box plots with a hundred columns on each:
import numpy as np; np.random.seed(0)
import pandas as pd
import cufflinks as cf
df = cf.datagen.box(200)
df.iloc[:,0:100].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
df.iloc[:,100:].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
I would recommend plotting two different box plots with a hundred columns on each:
import numpy as np; np.random.seed(0)
import pandas as pd
import cufflinks as cf
df = cf.datagen.box(200)
df.iloc[:,0:100].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
df.iloc[:,100:].plot(kind='box', rot=90, figsize=(14, 8))
plt.tight_layout()
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
answered Mar 23 at 0:26
NathanielNathaniel
2,220214
2,220214
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
add a comment |
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
But I want to see according to the label values. Boxplot having Target label 1 and Target label 0. By the way that good idea 100 100 coloums but not full filling my problem. Because I have Imbalance data
– Sohaib Anwaar
Mar 23 at 0:51
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
Can you include some sample data to help me better understand what you mean? I cannot run your code without sample data, and I can’t tell what your data structure is.
– Nathaniel
Mar 23 at 1:14
add a comment |
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First, please provide a data test case to help us inderstand your particular case. Second, you absolutly need to tell us what do you want to see ? Your problem looks similar to the initial problem here (stackoverflow.com/a/55266943/7237062). In either way, when there is too much data, it seems to me to be a batter idea to use math/stats tools to peform some analysis for you first (see provided link; one can think of statistical tests, clustering, or whatever)
– LoneWanderer
Mar 23 at 11:19
here i am trying to visualize boxplot of every coloum.
– Sohaib Anwaar
Mar 23 at 11:54