# VISET
## Venn / Euler (three drugs)
**Static** (Matplotlib): proportional ellipses, every gene printed and
auto-sized to fit its region.
Code
``` python
import os
import matplotlib.pyplot as plt
from matplotlib import font_manager
from viset import load, eunoia_venn
fp = "Font" if os.path.isdir("Font") else "../Font"
for f in font_manager.findSystemFonts(fontpaths=[fp]):
font_manager.fontManager.addfont(f)
db = "Drug target sample files/" if os.path.isdir("Drug target sample files") else "../Drug target sample files/"
def L(name, fname): return load(db + fname, "Gene names", name)
flx = L("Fluoxetine", "1. FLUOXETINE_sample.csv")
ibu = L("Ibuprofen", "2. IBUPROFEN_sample.csv")
ace = L("Acetaminophen", "3. ACETAMINOPHEN_sample.csv")
eunoia_venn([flx, ibu, ace], colors=["#3a7ca5", "#e08a3c", "#3c8c57"], style="round", title="", figsize=(8.5, 7.5), margin=0.06)
```
**Interactive** (Plotly): hover any region to read its members — the
option to reach for when an intersection is too small for the static
figure to fit its labels.
Code
``` python
import os
import plotly.io as pio
pio.renderers.default = "notebook_connected"
from matplotlib import font_manager
from viset import load, eunoia_venn_interactive
fp = "Font" if os.path.isdir("Font") else "../Font"
for f in font_manager.findSystemFonts(fontpaths=[fp]):
font_manager.fontManager.addfont(f)
db = "Drug target sample files/" if os.path.isdir("Drug target sample files") else "../Drug target sample files/"
def L(name, fname): return load(db + fname, "Gene names", name)
flx = L("Fluoxetine", "1. FLUOXETINE_sample.csv")
ibu = L("Ibuprofen", "2. IBUPROFEN_sample.csv")
ace = L("Acetaminophen", "3. ACETAMINOPHEN_sample.csv")
eunoia_venn_interactive([flx, ibu, ace], colors=["#3a7ca5", "#e08a3c", "#3c8c57"], width=760, height=680, title="")
```
## UpSet (four drugs)
**Static** (Matplotlib): one bar per intersection with its members
listed inside, so it keeps working past the three-set limit of a Venn.
Code
``` python
import os
import matplotlib.pyplot as plt
from matplotlib import font_manager
from viset import load, upset
fp = "Font" if os.path.isdir("Font") else "../Font"
for f in font_manager.findSystemFonts(fontpaths=[fp]):
font_manager.fontManager.addfont(f)
db = "Drug target sample files/" if os.path.isdir("Drug target sample files") else "../Drug target sample files/"
def L(name, fname): return load(db + fname, "Gene names", name)
ibu = L("Ibuprofen", "2. IBUPROFEN_sample.csv")
ace = L("Acetaminophen", "3. ACETAMINOPHEN_sample.csv")
dic = L("Diclofenac", "12. DICLOFENAC_sample.csv")
ind = L("Indomethacin", "13. INDOMETHACIN_sample.csv")
upset({"Ibuprofen": ibu, "Acetaminophen": ace, "Diclofenac": dic, "Indomethacin": ind},
figsize=(13, 7), color_list="Set2", wspace=0.5)
```
**Interactive** (Plotly): hover any bar to read its members.
Code
``` python
import os
import plotly.io as pio
pio.renderers.default = "notebook_connected"
from matplotlib import font_manager
from viset import load, upset_interactive
fp = "Font" if os.path.isdir("Font") else "../Font"
for f in font_manager.findSystemFonts(fontpaths=[fp]):
font_manager.fontManager.addfont(f)
db = "Drug target sample files/" if os.path.isdir("Drug target sample files") else "../Drug target sample files/"
def L(name, fname): return load(db + fname, "Gene names", name)
ibu = L("Ibuprofen", "2. IBUPROFEN_sample.csv")
ace = L("Acetaminophen", "3. ACETAMINOPHEN_sample.csv")
dic = L("Diclofenac", "12. DICLOFENAC_sample.csv")
ind = L("Indomethacin", "13. INDOMETHACIN_sample.csv")
upset_interactive({"Ibuprofen": ibu, "Acetaminophen": ace, "Diclofenac": dic, "Indomethacin": ind}, wspace = 0.5,
title="", color_list="Set2", figsize=(11, 6.5))
```
Want the reasoning behind all this? See [State of current set
diagrams](state_of_set_diagrams.html) for the existing tools and their
gaps, and the [Introduction](introduction.html) to install VISET and run
it on your own data. Full-page interactive versions:
[Venn](venn_interactive.html) and [UpSet](upset_interactive.html).