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Merged
merged 1 commit into from
Nov 2, 2021
Merged

Changing dash-bio links to git.io #3450

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4 changes: 2 additions & 2 deletions doc/python/bio-alignment-chart.md
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ Note that the AlignmentChart only returns a chart of the sequence, while Alignme
import plotly.express as px
import pandas as pd

df = (pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/Dash_Bio/Genetic/gene_conservation.csv')
df = (pd.read_csv('https://git.io/gene_conservation.csv')
.set_index('0')
.loc[['consensus','conservation']]
.T
Expand All @@ -56,7 +56,7 @@ fig.show()

## Alignment Chart in dash_bio

```python no_display=true
```python hide_code=true
from IPython.display import IFrame
snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
IFrame(snippet_url + 'bio-alignmentchart', width='100%', height=630)
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19 changes: 6 additions & 13 deletions doc/python/bio-clustergram.md
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Original file line number Diff line number Diff line change
Expand Up @@ -40,10 +40,7 @@ import pandas as pd
import dash_bio


df = pd.read_csv(
'https://raw.githubusercontent.com/plotly/datasets/master/Dash_Bio/Chromosomal/' +
'clustergram_brain_cancer.csv',
)
df = pd.read_csv('https://git.io/clustergram_brain_cancer.csv')

dash_bio.Clustergram(
data=df,
Expand All @@ -62,10 +59,8 @@ Change the colors of the dendrogram traces that are used to represent clusters,
import pandas as pd
import dash_bio

df = pd.read_csv(
'https://raw.githubusercontent.com/plotly/datasets/master/Dash_Bio/Chromosomal/' +
'clustergram_brain_cancer.csv',
)

df = pd.read_csv('https://git.io/clustergram_brain_cancer.csv')

dash_bio.Clustergram(
data=df,
Expand All @@ -90,10 +85,8 @@ Change the relative width and height of, respectively, the row and column dendro
import pandas as pd
import dash_bio

df = pd.read_csv(
'https://raw.githubusercontent.com/plotly/datasets/master/Dash_Bio/Chromosomal/' +
'clustergram_brain_cancer.csv',
)

df = pd.read_csv('https://git.io/clustergram_brain_cancer.csv')

dash_bio.Clustergram(
data=df,
Expand All @@ -107,7 +100,7 @@ dash_bio.Clustergram(

## Clustergram with Dash

```python no_display=true
```python hide_code=true
from IPython.display import IFrame
snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
IFrame(snippet_url + 'bio-clustergram', width='100%', height=630)
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7 changes: 4 additions & 3 deletions doc/python/bio-manhattanplot.md
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Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,8 @@ ManhattanPlot allows you to visualize genome-wide association studies (GWAS) eff
import pandas as pd
import dash_bio

df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')

df = pd.read_csv('https://git.io/manhattan_data.csv')


dash_bio.ManhattanPlot(
Expand All @@ -56,7 +57,7 @@ import pandas as pd
import dash_bio


df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')
df = pd.read_csv('https://git.io/manhattan_data.csv')

dash_bio.ManhattanPlot(
dataframe=df,
Expand All @@ -68,7 +69,7 @@ dash_bio.ManhattanPlot(

## ManhattanPlot with Dash

```python no_display=true
```python hide_code=true
from IPython.display import IFrame
snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
IFrame(snippet_url + 'bio-manhattanplot', width='100%', height=630)
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10 changes: 4 additions & 6 deletions doc/python/bio-volcano-plot.md
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Original file line number Diff line number Diff line change
Expand Up @@ -41,10 +41,7 @@ import pandas as pd
import dash_bio


df = pd.read_csv(
'https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/' +
'volcano_data1.csv'
)
df = pd.read_csv('https://git.io/volcano_data1.csv')

dash_bio.VolcanoPlot(
dataframe=df,
Expand All @@ -59,7 +56,8 @@ Change the size of the points on the scatter plot, and the widths of the effect
import pandas as pd
import dash_bio

df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/volcano_data1.csv')

df = pd.read_csv('https://git.io/volcano_data1.csv')

dash_bio.VolcanoPlot(
dataframe=df,
Expand All @@ -71,7 +69,7 @@ dash_bio.VolcanoPlot(

## VolcanoPlot with Dash

```python no_display=true
```python hide_code=true
from IPython.display import IFrame
snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
IFrame(snippet_url + 'bio-volcano', width='100%', height=630)
Expand Down